A deep-learning algorithm to disentangle self-interacting dark matter and AGN feedback models

Ähnliche Einträge

• Prospects for disentangling dark matter with weak lensing
  von: Preston, Calvin, et al.
  Veröffentlicht: (2025)
• RGC: a radio AGN classifier based on deep learning. I. A semi-supervised multiclass model for VLA images
  von: Hossain, M. S., et al.
  Veröffentlicht: (2025)
• DARKSKIES: A suite of super-sampled zoom-in simulations of galaxy clusters with self-interacting dark matter
  von: Harvey, David, et al.
  Veröffentlicht: (2025)
• A representation learning approach to probe for dynamical dark energy in matter power spectra
  von: Piras, Davide, et al.
  Veröffentlicht: (2023)
• Asymmetric self-interacting dark matter with a canonical seesaw model
  von: Borah, Debasish, et al.
  Veröffentlicht: (2024)